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- W2735552616 abstract "In this paper we propose an interactive genetic algorithm to evolve maze levels for computer games. We represent a maze with a cellular automaton and the genetic algorithm evolves the cellular automata rules applied to a starting maze level state. Users then rate the fitness of a subset of the generated population using an image of the top-down view of the maze. After ten generations, users then play through the best evolved maze within a maze runner type game using a first person perspective. User ratings show that our IGA was able to evolve highly rated mazes." @default.
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- W2735552616 date "2017-07-15" @default.
- W2735552616 modified "2023-09-27" @default.
- W2735552616 title "Procedural level design using an interactive cellular automata genetic algorithm" @default.
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- W2735552616 doi "https://doi.org/10.1145/3067695.3075614" @default.
- W2735552616 hasPublicationYear "2017" @default.
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